Cascade-Forward Neural Network Based on Resilient Backpropagation for Simultaneous Parameters and State Space Estimations of Brushed DC Machines

Hacene MELLAH1,2*, Kamel Eddine HEMSAS2, Rachid TALEB3 Electrical engineering department, faculty of sciences and applied sciences, University of Akli Mouhand Oulhadj-Bouira, Algeria 2 Department of Electrical Engineering, Faculty of Technology, Ferhat Abbas Sétif 1 University, LAS laboratory, Sétif, Algeria 3 Department of Electrical Engineering, LGEER Laboratory, Hassiba Benbouali University, Chlef, Algeria

[1]  Christian Napoli,et al.  Cascade Feed Forward Neural Network-based Model for Air Pollutants Evaluation of Single Monitoring Stations in Urban Areas , 2015 .

[2]  Yinan Kong,et al.  Side-Channel Information Characterisation Based on Cascade-Forward Back-Propagation Neural Network , 2016, Journal of Electronic Testing.

[3]  Weiwei Li,et al.  Modelling of dust removal in rotating packed bed using artificial neural networks (ANN) , 2017 .

[4]  I. K. Bousserhane,et al.  ARTIFICIAL NEURAL NETWORK SLIDING MODE CONTROL FOR MULTI-MACHINE WEB WINDING SYSTEM , 2017 .

[5]  Roberto Battiti,et al.  First- and Second-Order Methods for Learning: Between Steepest Descent and Newton's Method , 1992, Neural Computation.

[6]  Kaamran Raahemifar,et al.  Artificial neural network (ANN) based model predictive control (MPC) and optimization of HVAC systems: A state of the art review and case study of a residential HVAC system , 2017 .

[7]  Le Yi Wang,et al.  Real-Time Parameter Estimation of PMDC Motors Using Quantized Sensors , 2013, IEEE Transactions on Vehicular Technology.

[8]  Rachid Taleb,et al.  Intelligent Sensor Based Bayesian Neural Network for Combined Parameters and States Estimation of a Brushed DC Motor , 2019, ArXiv.

[10]  Hamid Taghavifar,et al.  A hybridized artificial neural network and imperialist competitive algorithm optimization approach for prediction of soil compaction in soil bin facility , 2013 .

[11]  S.E. Zocholl.  Understanding service factor, thermal models, and overloads , 2006, 59th Annual Conference for Protective Relay Engineers, 2006..

[12]  Sidan Du,et al.  Alzheimer's Disease Detection by Pseudo Zernike Moment and Linear Regression Classification. , 2017, CNS & neurological disorders drug targets.

[13]  R.H.Jr. Welch,et al.  How temperature affects a servomotor's electrical and mechanical time constants , 2002, Conference Record of the 2002 IEEE Industry Applications Conference. 37th IAS Annual Meeting (Cat. No.02CH37344).

[14]  Saratha Sathasivam,et al.  A new hybrid quadratic regression and cascade forward backpropagation neural network , 2016, Neurocomputing.

[15]  A.E. Emanuel,et al.  Induction motor thermal aging caused by voltage distortion and imbalance: loss of useful life and its estimated cost , 2001, 2001 IEEE Industrial and Commercial Power Systems Technical Conference. Conference Record (Cat. No.01CH37226).

[16]  B. Karanayil,et al.  Online Stator and Rotor Resistance Estimation Scheme Using Artificial Neural Networks for Vector Controlled Speed Sensorless Induction Motor Drive , 2007, IEEE Transactions on Industrial Electronics.

[17]  Christian Kral,et al.  Sensorless rotor temperature estimation of permanent magnet synchronous motor , 2011, IECON 2011 - 37th Annual Conference of the IEEE Industrial Electronics Society.

[18]  P. Gnaciński.  Windings Temperature and Loss of Life of an Induction Machine Under Voltage Unbalance Combined With Over- or Undervoltages , 2008, IEEE Transactions on Energy Conversion.

[19]  G. Stone,et al.  Electrical Insulation for Rotating Machines , 2003 .

[20]  Reza Chayjan Amiri,et al.  Modeling Isosteric Heat of Soya Bean for Desorption Energy Estimation Using Neural Network Approach , 2010 .

[21]  A. Zabidi,et al.  Agarwood oil quality classification using cascade-forward neural network , 2015, 2015 IEEE 6th Control and System Graduate Research Colloquium (ICSGRC).

[22]  Michel Rezkalla,et al.  Voltage estimation in active distribution grids using neural networks , 2016, 2016 IEEE Power and Energy Society General Meeting (PESGM).

[23]  Zikrija Avdagic,et al.  Multilevel prediction of missing time series dam displacements data based on artificial neural networks voting evaluation , 2016, 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

[24]  G. Bucci,et al.  Metrological characterization of a contactless smart thrust and speed sensor for linear induction motor testing , 1996 .

[25]  Meng Wang,et al.  Reversed Spectral Hashing , 2018, IEEE Transactions on Neural Networks and Learning Systems.

[26]  T.G. Habetler,et al.  A Sensorless Rotor Temperature Estimator for Induction Machines Based on Current Harmonic Spectral Estimation Scheme , 2006, 2006 12th International Power Electronics and Motion Control Conference.

[27]  J.A. Rooks,et al.  Thermal evaluation for applying TEFC induction motors on short-time and intermittent duty cycles , 2002, Conference Record of the 2002 Annual Pulp and Paper Industry Technical Conference (Cat. No.02CH37352).

[28]  Fredrik Gustafsson,et al.  Fundamental Filtering Limitations in Linear Non-Gaussian Systems , 2004 .

[29]  G. Grellet,et al.  Measurement of physical signals in rotating part of electrical machine by means of optical fibre transmission , 1996, Quality Measurement: The Indispensable Bridge between Theory and Reality (No Measurements? No Science! Joint Conference - 1996: IEEE Instrumentation and Measurement Technology Conference and IMEKO Tec.

[30]  Christian Igel,et al.  Empirical evaluation of the improved Rprop learning algorithms , 2003, Neurocomputing.

[31]  Martin A. Riedmiller,et al.  Advanced supervised learning in multi-layer perceptrons — From backpropagation to adaptive learning algorithms , 1994 .

[32]  Martin A. Riedmiller,et al.  RPROP - A Fast Adaptive Learning Algorithm , 1992 .

[33]  A. Mohammadi,et al.  Prediction of heat capacities of ionic liquids using chemical structure based networks , 2017 .

[34]  Bin Lu,et al.  Impaired-Cooling-Condition Detection Using DC-Signal Injection for Soft-Starter-Connected Induction Motors , 2009, IEEE Transactions on Industrial Electronics.

[35]  Martin Ganchev,et al.  Rotor temperature monitoring system , 2010, The XIX International Conference on Electrical Machines - ICEM 2010.

[36]  J. K. Al-Tayie,et al.  Estimation of speed and armature temperature in a brushed DC drive using the extended Kalman filter , 1997 .

[37]  Jaime Gómez Gil,et al.  A New Method for Sensorless Estimation of the Speed and Position in Brushed DC Motors Using Support Vector Machines , 2012, IEEE Transactions on Industrial Electronics.

[38]  James B. Rawlings,et al.  Critical Evaluation of Extended Kalman Filtering and Moving-Horizon Estimation , 2005 .

[39]  Giovanni Bucci,et al.  Variable Speed Drive Characterization: Review of Measurement Techniques and Future Trends , 2013 .

[40]  Bimal K. Bose,et al.  Expert system, fuzzy logic, and neural network applications in power electronics and motion control , 1994, Proc. IEEE.

[41]  Martin A. Riedmiller,et al.  A direct adaptive method for faster backpropagation learning: the RPROP algorithm , 1993, IEEE International Conference on Neural Networks.

[42]  Lalit M. Patnaik,et al.  Target detection through image processing and resilient propagation algorithms , 2000, Neurocomputing.

[43]  Temperature rise values for D-C machines , 1950, Electrical Engineering.

[44]  Mark Beale,et al.  Neural Network Toolbox™ User's Guide , 2015 .

[45]  S. William Gouse,et al.  Thermal Analysis of a Small D-C Motor; Part I. Dimensional Analysis of Combined Thermal and Electrical Processes [includes discussion] , 1956, Transactions of the American Institute of Electrical Engineers. Part III: Power Apparatus and Systems.

[46]  Mehmet Kurban,et al.  A New Approach for the Short-Term Load Forecasting with Autoregressive and Artificial Neural Network Models , 2007 .

[47]  D. N. Vishwakarma,et al.  ANN and wavelet entropy based approach for fault location in series compensated lines , 2016, 2016 International Conference on Microelectronics, Computing and Communications (MicroCom).

[48]  S. N. Sivanandam,et al.  Artificial Neural Network Approach for Dynamic Modelling of Heat Exchanger for Data Prediction , 2016 .

[49]  R. Pantonial,et al.  Real time thermal estimation of a Brushed DC Motor by a steady-state Kalman filter algorithm in multi-rate sampling scheme , 2012, TENCON 2012 IEEE Region 10 Conference.

[50]  Christian Igel,et al.  Improving the Rprop Learning Algorithm , 2000 .

[51]  Ali S.M. Nawazish,et al.  Review in thermal effects on the performance of electric motors , 2016 .

[52]  A. Hezave,et al.  Trainable cascade-forward back-propagation network modeling of spearmint oil extraction in a packed bed using SC-CO2 , 2013 .

[53]  Jaime Gómez Gil,et al.  Position and Speed Control of Brushless DC Motors Using Sensorless Techniques and Application Trends , 2010, Sensors.

[54]  S. Andrew Gadsden,et al.  Nonlinear estimation of stator winding resistance in a brushless DC motor , 2013, 2013 American Control Conference.

[55]  Thomas G. Habetler,et al.  A Survey on Testing and Monitoring Methods for Stator Insulation Systems of Low-Voltage Induction Machines Focusing on Turn Insulation Problems , 2008, IEEE Transactions on Industrial Electronics.

[56]  Bogdan M. Wilamowski,et al.  How to not get frustrated with neural networks , 2011, 2011 IEEE International Conference on Industrial Technology.

[57]  Ph. K. Sattler,et al.  On-line-estimation of temperatures in electrical machines by an observer , 1993 .

[58]  Walayat Hussain,et al.  QoS prediction methods to avoid SLA violation in post-interaction time phase , 2016, 2016 IEEE 11th Conference on Industrial Electronics and Applications (ICIEA).

[59]  Vaclav Smidl,et al.  Challenges and limits of extended Kalman Filter based sensorless control of permanent magnet synchronous machine drives , 2009, 2009 13th European Conference on Power Electronics and Applications.

[60]  Ritu Vijay,et al.  Mammogram Analysis Using Feed-Forward Back Propagation and Cascade-Forward Back Propagation Artificial Neural Network , 2015, 2015 Fifth International Conference on Communication Systems and Network Technologies.

[61]  S. William Gouse,et al.  Thermal Analysis of a Small D-C Motor; Part II. Experimental Study of Steady-State Temperature Distribution in a D-C Motor with Correlations Based on Dimensional Analysis [includes discussion] , 1956, Transactions of the American Institute of Electrical Engineers. Part III: Power Apparatus and Systems.

[62]  Shaila Apte,et al.  Performance optimization and comparative analysis of neural networks for handwritten Devanagari character recognition , 2016, 2016 International Conference on Signal and Information Processing (IConSIP).

[63]  C. French,et al.  Control of permanent magnet motor drives using a new position estimation technique , 1996 .

[64]  S. Himavathi,et al.  Design and field programmable gate array implementation of cascade neural network based flux estimator for speed estimation in induction motor drives , 2017 .

[65]  Siby Abraham,et al.  Reaching Optimized Parameter Set, Protein Secondary Structure Prediction Using Neural Network , 2018 .

[66]  Murat Kayri,et al.  Predictive Abilities of Bayesian Regularization and Levenberg–Marquardt Algorithms in Artificial Neural Networks: A Comparative Empirical Study on Social Data , 2016 .

[67]  Ieee Std,et al.  Temperature Measurement as Applied to Electrical Apparatus , 1975 .

[68]  S. Khatun,et al.  Cascade-forward neural network performance study for bloodstain image analysis , 2016, 2016 3rd International Conference on Electronic Design (ICED).

[69]  T.G. Habetler,et al.  A Sensorless Adaptive Stator Winding Temperature Estimator for Mains-Fed Induction Machines With Continuous-Operation Periodic Duty Cycles , 2006, IEEE Transactions on Industry Applications.

[70]  O. Grigore,et al.  SPATIAL EXPLORATION BY OPTIMIZING ARTIFICIAL NEURAL NETWORKS ASSISTED BY A PHEROMONE MAP , 2017 .

[71]  Silverio Bolognani,et al.  Extended Kalman filter tuning in sensorless PMSM drives , 2003 .

[72]  Jeffrey K. Uhlmann,et al.  New extension of the Kalman filter to nonlinear systems , 1997, Defense, Security, and Sensing.

[73]  Changyin Sun,et al.  Adaptive Neural Network Control of Biped Robots , 2017, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[74]  P. Keshavarz,et al.  Modeling surface tension of pure refrigerants using feed-forward back-propagation neural networks , 2017 .

[75]  G. Capizzi,et al.  Design optimization of solar chimney power plant by finite elements based numerical model and cascade neural networks , 2016, 2016 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM).

[76]  Wu Zhe,et al.  Helicopter engine performance prediction based on cascade-forward process neural network , 2012, 2012 IEEE Conference on Prognostics and Health Management.

[77]  N. H. Hussin,et al.  Artificial neural network technique for modeling of groundwaterlevel in Langat Basin, Malaysia , 2016 .

[78]  George D. Magoulas,et al.  Sign-based learning schemes for pattern classification , 2005, Pattern Recognit. Lett..

[79]  Omaima N. A. AL-Allaf.  Cascade-Forward vs. Function Fitting Neural Network for Improving Image Quality and Learning Time in Image Compression System , 2012 .

[80]  Sarika Khandelwal,et al.  Fingerprint Recognition System by Termination Points Using Cascade-Forward Backpropagation Neural Network , 2016 .

[81]  Jovan M. Knezevic.  Low-Cost Low-Resolution Sensorless Positioning of DC Motor Drives for Vehicle Auxiliary Applications , 2013, IEEE Transactions on Vehicular Technology.